This inventor holds 2 USPTO granted patents. Top assignee: Sitecore Corporation A/s. Active years: 2022-2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2023
Title: Innovations by Aleksandr A Orlov
Introduction
Aleksandr A Orlov is a notable inventor based in Copenhagen, Denmark. He has made significant contributions to the field of machine learning and personalization technologies. With a total of 2 patents, his work focuses on enhancing digital content delivery through innovative systems and methods.
Latest Patents
Orlov's latest patents revolve around machine-learning based personalization. These patents describe a system, method, and apparatus that generate and deliver personalized digital content. The process involves performing multiple content tests by presenting different variants of content to various consumers. A machine learning (ML) model is generated and trained based on the analysis of results from these tests. The ML model outputs personalization rules that specify certain variances for defined sets of facts. Administrative users can select one or more of these rules. When a request for content is received from a consumer, a subset of the selected personalization rules is chosen based on similarities between the defined facts and the requesting consumer. The content is then personalized and delivered accordingly.
Career Highlights
Aleksandr A Orlov is currently employed at Sitecore Corporation A/S, where he continues to innovate in the realm of digital content personalization. His expertise in machine learning has positioned him as a key player in developing advanced solutions that cater to consumer needs.
Collaborations
Orlov collaborates with various professionals in his field, including his coworker Tetiana Kostenko. Their combined efforts contribute to the ongoing advancements in personalization technologies.
Conclusion
Aleksandr A Orlov's work exemplifies the intersection of technology and consumer engagement through innovative machine learning applications. His contributions are paving the way for more personalized digital experiences.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile